Evidence map›Paper›PMID 28168368›Full record

ArticleEuropean radiology2017

Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT.

Gert Jan Pelgrim, Robbert W van Hamersvelt, Martin J Willemink, Bernhard T Schmidt, Thomas Flohr, Arnold Schilham, Julien Milles, Matthijs Oudkerk, Tim Leiner, Rozemarijn Vliegenthart

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed
11.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

102 citing papers in PubMed, 190 citations in OpenAlex.

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  14. Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2025
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42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 2 countries.

Gert Jan PelgrimCenter for Medical Imaging - North East Netherlands, University of Groningen, University Medical Center Groningen, P.O. Box EB44, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Robbert W van HamersveltDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.
Martin J WilleminkDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.
Bernhard T SchmidtSiemens Healthcare GmbH, Forchheim, Germany.
Thomas FlohrSiemens Healthcare GmbH, Forchheim, Germany.
Arnold SchilhamDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.
Julien MillesPhilips Healthcare, Best, The Netherlands.
Matthijs OudkerkCenter for Medical Imaging - North East Netherlands, University of Groningen, University Medical Center Groningen, P.O. Box EB44, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Tim LeinerDepartment of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands.
Rozemarijn VliegenthartCenter for Medical Imaging - North East Netherlands, University of Groningen, University Medical Center Groningen, P.O. Box EB44, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands. r.vliegenthart@umcg.nl.
Siemens Healthcare (Germany) · DEUniversity Medical Center Groningen · NLUniversity Medical Center Utrecht · NLUtrecht University · NLPhilips (Netherlands) · NLUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the accuracy of iodine quantification with dual energy computed tomography (DECT) in two high-end CT systems with different spectral imaging techniques.

methodsFive tubes with different iodine concentrations (0, 5, 10, 15, 20 mg/ml) were analysed in an anthropomorphic thoracic phantom. Adding two phantom rings simulated increased patient size. For third-generation dual source CT (DSCT), tube voltage combinations of 150Sn and 70, 80, 90, 100 kVp were analysed. For dual layer CT (DLCT), 120 and 140 kVp were used. Scans were repeated three times. Median normalized values and interquartile ranges (IQRs) were calculated for all kVp settings and phantom sizes.

resultsCorrelation between measured and known iodine concentrations was excellent for both systems (R = 0.999-1.000, p < 0.0001). For DSCT, median measurement errors ranged from -0.5% (IQR -2.0, 2.0%) at 150Sn/70 kVp and -2.3% (IQR -4.0, -0.1%) at 150Sn/80 kVp to -4.0% (IQR -6.0, -2.8%) at 150Sn/90 kVp. For DLCT, median measurement errors ranged from -3.3% (IQR -4.9, -1.5%) at 140 kVp to -4.6% (IQR -6.0, -3.6%) at 120 kVp. Larger phantom sizes increased variability of iodine measurements (p < 0.05).

conclusionIodine concentration can be accurately quantified with state-of-the-art DECT systems from two vendors. The lowest absolute errors were found for DSCT using the 150Sn/70 kVp or 150Sn/80 kVp combinations, which was slightly more accurate than 140 kVp in DLCT. KEY POINTS: • High-end CT scanners allow accurate iodine quantification using different DECT techniques. • Lowest measurement error was found in scans with largest photon energy separation. • Dual-source CT quantified iodine slightly more accurately than dual layer CT.

Indexed as

Absorptiometry, PhotonContrast MediaCoronary Artery DiseaseHumansIodineIoxaglic AcidMyocardial Perfusion ImagingPhantoms, ImagingRadiation DosageTomography, X-Ray ComputedContrast MediaIodineIoxaglic AcidAbsorptiometry, photonIodineMyocardial perfusion imagingPhantoms, imagingTomography, x-ray computed

Identifiers

PMID28168368
PMCPMC5544802
OpenAlexW2587655474

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.